• Title/Summary/Keyword: Swiss-Model

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Study on Challenging the Arbitral Award Before an Arbitration-friendly Swiss Court (중재친화적인 스위스 국제중재의 중재판정취소의 소에 관한 연구)

  • Do, Hye-Jeong
    • Journal of Arbitration Studies
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    • v.30 no.1
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    • pp.161-184
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    • 2020
  • In the process of the annulment of arbitral awards, the Swiss Federal Supreme Court contributes to keeping Switzerland as a venue for international arbitration. Challenges to an award rendered in Switzerland are handled by the Swiss Supreme Court only. Furthermore, the Swiss law provides extremely limited grounds (PILA 190) for the potential challenge of the award and those are different from what model law countries have. For example, violations of the parties' agreed procedural arrangements will not be grounds for the annulment of an award in Swiss. In arbitration, the intervention of a national court is necessary to protect justice but at the same time, it can impede the process of arbitration, even making it useless. Limited intervention of the Swiss Supreme Court protects the efficiency, autonomy, and justice of international arbitration. International Arbitration has to be simple and fast to solve complex international commercial problems and to promote trade. Therefore, the process and technique to be applied on an Arbitration-friendly Swiss court should be considered.

Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images

  • Feng Wang;Trond R. Henninen;Debora Keller;Rolf Erni
    • Applied Microscopy
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    • v.50
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    • pp.23.1-23.9
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    • 2020
  • We propose an effective deep learning model to denoise scanning transmission electron microscopy (STEM) image series, named Noise2Atom, to map images from a source domain 𝓢 to a target domain 𝓒, where 𝓢 is for our noisy experimental dataset, and 𝓒 is for the desired clear atomic images. Noise2Atom uses two external networks to apply additional constraints from the domain knowledge. This model requires no signal prior, no noise model estimation, and no paired training images. The only assumption is that the inputs are acquired with identical experimental configurations. To evaluate the restoration performance of our model, as it is impossible to obtain ground truth for our experimental dataset, we propose consecutive structural similarity (CSS) for image quality assessment, based on the fact that the structures remain much the same as the previous frame(s) within small scan intervals. We demonstrate the superiority of our model by providing evaluation in terms of CSS and visual quality on different experimental datasets.

Degradation Pattern of Black phosphorus Field Effect Transistor

  • Lee, Byeong-Cheol;Ju, Min-Gyu;Jin, Jun-Eon;Lee, Jae-U;Kim, Gyu-Tae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2015.08a
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    • pp.167.1-167.1
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    • 2015
  • We investigate the degradation pattern of Black phosphorus (BP) field effect transistor (FETs) was investigated by using an mechanically exfoliated BP that react O2 and water vapor in ambient condition, degradation. The BP FETs was electrically measured every 20 minutes (1cycle) in the air, the total cycle is 100. We show electrical changes with Mobility, On/off ratio, Current and a significant positive shift in the threshold voltage. We extracted the current level at Vgs-Vth = 0, -10, -20 and fitting with Swiss-cheese model. This model suggested that Swiss-cheese model is well fitted with degradation pattern of BP FETs.

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A Study on the Form of Electric Shock Accident Using Swiss Cheese Model (스위스 치즈 모델을 적용한 철도 감전사고 발생형태에 관한 연구)

  • Yu, Ki-Seong;Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.12
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    • pp.1711-1716
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    • 2018
  • Unlike conventional transmission and distribution lines, catenary system for operating electric railway vehicles are composed of multi-conductor groups (feeder line, contact wire, messenger wire, protection wire) and are used for railway employees, public or passengers in the station yards. Electric shock hazards are exposed and electric shocks such as death or serious injury are occurring in electric railway vehicles, railway high-voltage distribution lines, and catenary system. In order to analyze the types of electric shock accidents on railway by systematic approach method, we modeled 'unsafe behavior classification' method using swiss cheese model. Based on this method, we derived the type of electric shock accidents about railway accidents during the last 5 years by analyzing the frequency of occurrence of human errors and unsafe acts, laws and regulations related to violations, and so on.

Degradation Pattern of Black phosphorus Field Effect Transistor

  • Lee, Byeong-Cheol;Ju, Min-Gyu;Jin, Jun-Eon;Lee, Jae-U;Kim, Gyu-Tae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2015.08a
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    • pp.120.1-120.1
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    • 2015
  • We investigate the degradation pattern of Black phosphorus (BP) field effect transistor (FETs) investigated by using an mechanically exfoliated BP that react O2 and water vapor in ambient condition, degradation. The BP FETs was electrically measured every 20 minutes (1cycle) in the air, the total cycle is 100. We show electrical changes with Mobility, On/off ratio, Current and a significant positive shift in the threshold voltage. We extracted the current level at Vgs-Vth = 0, -10, -20 and fitting with Swiss-cheese model. This model suggested that Swiss-cheese model is well fitted with degradation pattern of BP FETs.

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Inferential Problems in Bayesian Logistic Regression Models (베이지안 로지스틱 회귀모형에서의 추론에 대한 연구)

  • Hwang, Jin-Soo;Kang, Sung-Chan
    • The Korean Journal of Applied Statistics
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    • v.24 no.6
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    • pp.1149-1160
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    • 2011
  • Model selection and hypothesis testing problems in Bayesian inference are still debated between scholars. Bayesian factors traditionally used as a criterion in Bayesian hypothesis testing and model selection, are easy to understand but sometimes hard to compute. In addition, there are other model selection criterions such as DIC(Deviance Information Criterion) by Spiegelhalter et al. (2002) and Bayesian P-values for testing. In this paper, we briefly introduce the Bayesian hypothesis testing and model selection procedure. In addition we have applied a Bayesian inference to Swiss banknote data by a fitting logistic regression model and computing several test statistics to see if they provide consistent results.

Integer Programming Models for Disassembly Scheduling (분해 일정계획 문제에 대한 정수계획 모형)

  • Lee Dong-Ho;Kim Hwa-Joong;Xirouchakis Paul
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.369-374
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    • 2003
  • Disassembly scheduling is the problem or determining the ordering and disassembly schedules or used or end-of-life products while satisfying the demand or their parts or components over a certain planning horizon. To represent and optimally solve the basic case. i e ., single product type without parts commonality, an Integer programming model is suggested for the objective or minimizing the sum or purchase, setup, inventory holding, and disassembly operation costs. Then, the basic model is offended to consider the cases or single and multiple product types with parts commonality. Computational experiments done on the examples obtained from the literature show that the integer programming approach suggested in this paper works well.

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A Study on the Management Method for Preventing Workers' unsafe Behavior in Chemical Plant (화학공장의 근로자 불안전상태 예방을 위한 관리방법에 관한 연구)

  • Baek, Ju Hong;Lim, Dong-Hui;Kim, Min-Seop;Seol, Ji Woo;Yoo, Byung Tae;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.26 no.3
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    • pp.1-9
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    • 2022
  • The causes of accidents occurring in chemical plants vary, but 96% of industrial accidents occurring worldwide are caused by workers' unsafe behavior. The International Labour Organization (ILO) has announced 20 elements of workers' anxiety-warning behaviors that occur on multiple occasions at industrial sites in order to warn them of the risk of accidents caused by workers' anxiety-driven behavior, and to prevent industrial accidents, workers' anxiety-driven behavior should be controlled under stress In this study, major types of unsafe behavior were analyzed on the basis of information on the accident investigation history of domestic workspaces in order to find out how workers can manage their unsafe behavior. Based on the results of the analysis of the major anxiety war behavior, the root cause of causing anxiety war behavior was analyzed using the Swiss Cheese Model, and each root cause management method was proposed.

Optimal Disassembly Sequencing with Sequence-Dependent Operation Times Based on the Directed Graph of Assembly States (작업시간이 순서 의존적인 경우 조립상태를 나타내는 유방향그래프를 이용한 최적 제품 분해순서 결정)

  • Kang, Jun-Gyu;Lee, Dong-Ho;Xirouchakis, Paul;Lambert, A.J.D.
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.3
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    • pp.264-273
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    • 2002
  • This paper focuses on disassembly sequencing, which is the problem of determining the optimum disassembly level and the corresponding disassembly sequence for a product at its end-of-life with the objective of maximizing the overall profit. In particular, sequence-dependent operation times, which frequently occur in practice due to tool-changeover, part reorientation, etc, are considered in the parallel disassembly environment. To represent the problem, a modified directed graph of assembly states is suggested as an extension of the existing extended process graph. Based on the directed graph, the problem is transformed into the shortest path problem and formulated as a linear programming model that can be solved straightforwardly with standard techniques. A case study on a photocopier was done and the results are reported.

Bayesian analysis of insurance risk model with parameter uncertainty (베이지안 접근법과 모수불확실성을 반영한 보험위험 측정 모형)

  • Cho, Jaerin;Ji, Hyesu;Lee, Hangsuck
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.1
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    • pp.9-18
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    • 2016
  • In the Heckman-Meyers model, which is frequently referred by IAA, Swiss Solvency Test, EU Solvency II, the assumption of parameter distribution is key factor. While in theory Bayesian analysis somewhat reflects parameter uncertainty using prior distribution, it is often the case where both Heckman-Meyers and Bayesian are necessary to better manage the parameter uncertainty. Therefore, this paper proposes the use of Bayesian H-M CRM, a combination of Heckman-Meyers model and Bayesian, and analyzes its efficiency.